Purpose The purpose of this paper is develo** a data-driven maintenance policy through
the analysis of vast amount of data and its application to an oil refinery plant. The …

Like all manufacturing companies, refineries use many sensors to monitor and control the
process of refining, therefore it is very crucial to detect any sensor faults or anomalies as …

Quality variables cannot be automatically measured to all nor be measured at a high cost,
infrequently, nor with high delays, such as laboratory analysis and online analyser …

There is a huge generation of raw data during production processes of refinery products and
in most cases this data remains under-utilised for knowledge acquisition and decision …

The competitiveness characterizing the current industrial scenario requires high levels of
process reliability. This aspect is particularly relevant for complex plants since many …

Refineries rely heavily on the sensor data, decisions making in critical situation when a
sensor failure happens is therefore essential. This paper proposes a method of predicting …

Oil spills in European and North-American pipelines: An association rule-based analysis IRIS
IRIS Home Sfoglia Macrotipologie & tipologie Autore Titolo Riviste Serie IT Italiano Italiano …